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skills acTion Plan for The food and Beverage secTor - Department of ...

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SKILLS WORKING GROUP PRIORITIES<br />

<strong>The</strong> following sections outline key labour market issues<br />

under each <strong>of</strong> the three Skills Working Group priorities<br />

- better labour market in<strong>for</strong>mation, more strategic<br />

investment in training <strong>and</strong> attractive careers.<br />

1. Better Labour Market In<strong>for</strong>mation<br />

<strong>The</strong> purpose <strong>of</strong> this priority is to ensure robust data <strong>and</strong><br />

in<strong>for</strong>mation is available to enable sound decision making<br />

about <strong>food</strong> <strong>and</strong> beverage <strong>skills</strong>, training, employment <strong>and</strong><br />

productivity issues. This priority includes improving the<br />

in<strong>for</strong>mation base by:<br />

• Being able to <strong>for</strong>ecast labour dem<strong>and</strong> in sub sectors<br />

within <strong>food</strong> <strong>and</strong> beverage.<br />

• Better underst<strong>and</strong>ing <strong>of</strong> the link between productivity<br />

<strong>and</strong> <strong>skills</strong> in <strong>food</strong> <strong>and</strong> beverage businesses.<br />

• Better underst<strong>and</strong>ing <strong>of</strong> how to increase the adoption<br />

<strong>of</strong> science <strong>and</strong> technology in <strong>food</strong> <strong>and</strong> beverage<br />

businesses.<br />

• Determining the extent <strong>of</strong> current <strong>skills</strong> shortages in<br />

key <strong>food</strong> <strong>and</strong> beverage occupations.<br />

Each <strong>of</strong> these components is explained in detail below.<br />

1.1 FORECASTING FRAMEWORK<br />

Action Points<br />

• <strong>The</strong> <strong>food</strong> <strong>and</strong> beverage <strong>for</strong>ecasting framework will<br />

be implemented <strong>and</strong> applied to all <strong>food</strong> <strong>and</strong> beverage<br />

sub-sectors <strong>and</strong> maintained on an ongoing basis.<br />

This would involve <strong>food</strong> <strong>and</strong> beverage ITOs (as part <strong>of</strong><br />

their strategic <strong>skills</strong> leadership role) assisting in the<br />

implementation <strong>of</strong> the framework in conjunction with<br />

other relevant organisations.<br />

• STAG will guide consistency <strong>of</strong> application <strong>of</strong> this<br />

framework within the <strong>food</strong> <strong>and</strong> beverage sector,<br />

improve the framework, <strong>and</strong> test its robustness<br />

with respective industry organisations <strong>and</strong> training<br />

organisations.<br />

Background<br />

A <strong>for</strong>ecasting framework <strong>for</strong> the <strong>food</strong> <strong>and</strong> beverage sector<br />

was considered necessary to process relevant <strong>and</strong> available<br />

labour market in<strong>for</strong>mation using appropriate modelling <strong>of</strong><br />

future labour <strong>and</strong> <strong>skills</strong> dem<strong>and</strong> in the sector. A <strong>for</strong>ecasting<br />

framework has been developed by BERL (Business <strong>and</strong><br />

Economic Research Ltd) <strong>and</strong> tested on the dairy <strong>and</strong> wine<br />

sub-sectors, which included industry consultation. This<br />

framework is designed to be used by industry organisations<br />

to assist in their work<strong>for</strong>ce planning.<br />

<strong>The</strong> numbers generated <strong>for</strong> the dairy <strong>and</strong> wine sub-sectors<br />

are not <strong>for</strong>ecasts, rather they provide an outlook <strong>for</strong> the<br />

sub-sectors <strong>and</strong> are the result <strong>of</strong> specified scenarios<br />

which demonstrate how the framework can function.<br />

<strong>The</strong> framework is a starting point requiring further work,<br />

industry ownership, data integrity <strong>and</strong> interpretation <strong>of</strong><br />

facts <strong>and</strong> trends that are identified as a result <strong>of</strong> ‘running<br />

the numbers’. <strong>The</strong> interpretation is necessary within a<br />

strategic context that includes the impacts <strong>of</strong> ‘s<strong>of</strong>t’<br />

influencing factors on the flows <strong>of</strong> labour.<br />

This framework will enable the <strong>food</strong> <strong>and</strong> beverage sector,<br />

education <strong>and</strong> training organisations, industry associations<br />

<strong>and</strong> government agencies to make better assessments<br />

about future labour <strong>and</strong> skill needs in this sector <strong>and</strong> how<br />

to address them. It may assist in education, training <strong>and</strong><br />

recruitment decisions <strong>and</strong> assist the task<strong>for</strong>ce in planning<br />

its development agenda. <strong>The</strong>re is a distinct need <strong>for</strong><br />

projections <strong>of</strong> the trends in the dem<strong>and</strong> <strong>for</strong> labour over the<br />

medium term in relation to future growth or changes in the<br />

<strong>food</strong> <strong>and</strong> beverage sector.<br />

<strong>The</strong> framework needs to be further tested with respect<br />

to the assumptions (labour turnover, productivity, output<br />

growth, extent <strong>of</strong> part-time work) used <strong>and</strong> integrity <strong>of</strong> the<br />

data. It could then be extended to other <strong>food</strong> <strong>and</strong> beverage<br />

sub-sectors. It will be critical to improve the in<strong>for</strong>mation<br />

used in the framework <strong>and</strong> data updates, including use<br />

<strong>of</strong> the 2006 Census in<strong>for</strong>mation on occupations <strong>and</strong><br />

qualifications within the <strong>food</strong> <strong>and</strong> beverage sector. In<br />

implementing this framework, future population changes<br />

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